Multi-site calibration and validation of a net ecosystem carbon exchange model for croplands
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| Title: | Main Title: Multi-site calibration and validation of a net ecosystem carbon exchange model for croplands |
| Description: | Abstract: tCroplands play an important role in the carbon budget of many regions. However, the estimation of theircarbon balance remains difficult due to diversity and complexity of the processes involved. We report the coupling of a one-dimensional soil water, heat, and CO2flux model (SOILCO2), a pool concept of soilcarbon turnover (RothC), and a crop growth module (SUCROS) to predict the net ecosystem exchange(NEE) of carbon. The coupled model, further referred to as AgroC, was extended with routines for managedgrassland as well as for root exudation and root decay. In a first step, the coupled model was applied to two winter wheat sites and one upland grassland site in Germany. The model was calibrated based on soilwater content, soil temperature, biometric, and soil respiration measurements for each site, and validated in terms of hourly NEE measured with the eddy covariance technique. The overall model performanceof AgroC was sufficient with a model efficiency above 0.78 and a correlation coefficient above 0.91 forNEE. In a second step, AgroC was optimized with eddy covariance NEE measurements to examine theeffect of different objective functions, constraints, and data-transformations on estimated NEE. It was found that NEE showed a distinct sensitivity to the choice of objective function and the inclusion of soilrespiration data in the optimization process. In particular, both positive and negative day- and nighttime fluxes were found to be sensitive to the selected optimization strategy. Additional consideration of soilrespiration measurements improved the simulation of small positive fluxes remarkably. Even though the model performance of the selected optimization strategies did not diverge substantially, the resultingcumulative NEE over simulation time period differed substantially. Therefore, it is concluded that data-transformations, definitions of objective functions, and data sources have to be considered cautiouslywhen a terrestrial ecosystem model is used to determine NEE by means of eddy covariance measurements. |
| Identifier: | 10.1016/j.ecolmodel.2017.07.028 (DOI) |
Responsible Party
| Creators: | Anne Klosterhalfen (Author), Michael Herbst (Author), Lutz Weihermüller (Author), Alexander Graf (Author), Marius Schmidt (Author), Anja Stadler (Author), Karl Schneider (Author), Jens-Arne Subke (Author), Johan A. Huisman (Author), Harry Vereecken (Author) |
| Publisher: | Elsevier |
| Publication Year: | 2017 |
Topic
| TR32 Topic: | Vegetation |
| Related Subprojects: | B1, B5, Z3, C3, B6 |
| Subjects: | Keywords: Soil Respiration, Coupled Modeling, Carbon Modelling, Agriculture, CO2 Flux, NEE |
| Geogr. Information Topic: | Environment |
File Details
| Filename: | 2017_ecomod_klosterhalfen.pdf |
| Data Type: | Text - Article |
| Size: | 20 Pages |
| File Size: | 6.2 MB |
| Date: | Accepted: 25.07.2017 |
| Mime Type: | application/pdf |
| Data Format: | |
| Language: | English |
| Status: | Completed |
Constraints
| Download Permission: | Only Project Members |
| General Access and Use Conditions: | For internal use only |
| Access Limitations: | For internal use only |
| Licence: | [TR32DB] Data policy agreement |
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Specific Information - Publication
| Publication Status: | Published |
| Review Status: | Peer reviewed |
| Publication Type: | Article |
| Article Type: | Journal |
| Source: | Ecological Modelling |
| Source Website: | https://www.journals.elsevier.com/ecological-modelling |
| Volume: | 363 |
| Number of Pages: | 20 (137 - 156) |
Metadata Details
| Metadata Creator: | Michael Herbst |
| Metadata Created: | 14.09.2017 |
| Metadata Last Updated: | 14.09.2017 |
| Subproject: | B1 |
| Funding Phase: | 3 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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Dataset Statistics
| Page Visits: | 1005 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 1 |
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